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dc.creatorHuffaker, Rayes_ES
dc.creatorMuñoz Carpena, Rafaeles_ES
dc.creatorCampo-Bescós, Migueles_ES
dc.creatorSouthworth, Janees_ES
dc.date.accessioned2019-02-25T15:50:39Z
dc.date.available2019-02-25T15:50:39Z
dc.date.issued2016
dc.identifier.issn1364-8152
dc.identifier.urihttps://hdl.handle.net/2454/32412
dc.description.abstractThere are increasing calls to audit decision-support models used for environmental policy to ensure that they correspond with the reality facing policy makers. Modelers can establish correspondence by providing empirical evidence of real-world behavior that their models skillfully simulate. Since real-world behavior—especially in environmental systems—is often complex, credibly modeling underlying dynamics is essential. We present a pre-modeling diagnostic framework based on Nonlinear Time Series (NLTS) methods for reconstructing real-world environmental dynamics from observed data. The framework is illustrated with a case study of saltwater intrusion into coastal wetlands in Everglades National Park, Florida, USA. We propose that environmental modelers test for systematic dynamic behavior in observed data before resorting to conventional stochastic exploratory approaches unable to detect this valuable information. Reconstructed data dynamics can be used, along with other expert information, as a rigorous benchmark to guide specification and testing of environmental decision-support models corresponding with real-world behavior.en
dc.description.sponsorshipRH acknowledges support from NIFA (FLA-ABE-005414), RMC acknowledges support from the UF Water Institute Faculty Fellowship.en
dc.format.extent42 p.
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/zipen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofEnvironmental Modelling & Software, 83 (2016) 74-87en
dc.rights© 2016 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectModel evaluationen
dc.subjectNonlinear dynamicsen
dc.subjectPhase space reconstructionen
dc.subjectExtreme value statisticsen
dc.titleDemonstrating correspondence between decision-support models and dynamics of real-world environmental systemsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Proyectos e Ingeniería Rurales_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Landa Ingeniaritza eta Proiektuak Sailaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.1016/j.envsoft.2016.04.024
dc.relation.publisherversionhttps://doi.org/10.1016/j.envsoft.2016.04.024
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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© 2016 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0
Except where otherwise noted, this item's license is described as © 2016 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0